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Quantum pathways for charged track finding in high-energy collisions

Brown, Christopher; Spannowsky, Michael; Tapper, Alexander; Williams, Simon; Xiotidis, Ioannis

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Christopher Brown

Alexander Tapper

Ioannis Xiotidis


In high-energy particle collisions, charged track finding is a complex yet crucial endeavor. We propose a quantum algorithm, specifically quantum template matching, to enhance the accuracy and efficiency of track finding. Abstracting the Quantum Amplitude Amplification routine by introducing a data register, and utilizing a novel oracle construction, allows data to be parsed to the circuit and matched with a hit-pattern template, without prior knowledge of the input data. Furthermore, we address the challenges posed by missing hit data, demonstrating the ability of the quantum template matching algorithm to successfully identify charged-particle tracks from hit patterns with missing hits. Our findings therefore propose quantum methodologies tailored for real-world applications and underline the potential of quantum computing in collider physics.

Journal Article Type Article
Acceptance Date May 7, 2024
Online Publication Date May 30, 2024
Publication Date May 30, 2024
Deposit Date Jul 3, 2024
Publicly Available Date Jul 3, 2024
Journal Frontiers in Artificial Intelligence
Print ISSN 2624-8212
Publisher Frontiers Media
Peer Reviewed Peer Reviewed
Volume 7
Article Number 1339785
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Published Journal Article (1.8 Mb)


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Copyright Statement
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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